The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-12"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "12910357 (up from 12717908 yesterday: 1.51 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "569128 (up from 565138 yesterday: 0.71 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3954821

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.41



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3304942 59017 1.82 1023652 135205 428 0.32 4.09
Brazil 1864681 24831 1.35 779643 72100 631 0.88 3.87
India 878254 28732 3.38 452972 23174 501 2.21 2.64
Russia 726036 6587 0.92 142157 11318 130 1.16 1.56
Peru 326326 3616 1.12 74988 11870 188 1.61 3.64
Chile 315041 3012 0.97 72686 6979 98 1.42 2.22
Mexico 299750 4482 1.52 119205 35006 276 0.79 11.68
United Kingdom 291154 650 0.22 -14649 44904 21 0.05 15.42
South Africa 276242 12058 4.56 178940 4079 108 2.72 1.48
Iran 257303 2186 0.86 52351 12829 194 1.54 4.99
Spain 253908 0 0.00 7636 28403 0 0.00 11.19
Pakistan 251625 2753 1.11 70537 5266 69 1.33 2.09
Italy 243061 234 0.10 4562 34954 9 0.03 14.38
Saudi Arabia 232259 2779 1.21 74647 2223 42 1.93 0.96
Turkey 212993 1012 0.48 25308 5363 19 0.36 2.52
France 208015 0 0.00 11007 30007 0 0.00 14.43
Germany 199919 210 0.11 8647 9071 1 0.01 4.54
Bangladesh 183795 2666 1.47 71489 2352 47 2.04 1.28
Colombia 145362 4586 3.26 76526 5426 224 4.31 3.73
Canada 109348 198 0.18 6270 8829 11 0.12 8.07
Qatar 103598 470 0.46 16229 147 1 0.68 0.14
Argentina 100166 2657 2.72 57381 1845 35 1.93 1.84
China 85117 46 0.05 545 4641 0 0.00 5.45
Egypt 82070 912 1.12 26837 3858 89 2.36 4.70
Iraq 77506 2312 3.07 46638 3150 95 3.11 4.06
Indonesia 75699 1681 2.27 29808 3606 71 2.01 4.76
Sweden 74898 0 0.00 18855 5526 0 0.00 7.38
Ecuador 67870 661 0.98 17230 5047 16 0.32 7.44
Belarus 64932 165 0.25 6427 464 5 1.09 0.71
Belgium 62707 238 0.38 2157 9782 0 0.00 15.60
Kazakhstan 58253 0 0.00 40521 375 111 42.05 0.64
Philippines 56259 2037 3.76 26207 1534 162 11.81 2.73
Oman 56015 1318 2.41 26544 257 9 3.63 0.46
Kuwait 54894 836 1.55 15244 390 4 1.04 0.71
United Arab Emirates 54854 401 0.74 9929 333 2 0.60 0.61
Ukraine 54647 706 1.31 17286 1400 11 0.79 2.56
Netherlands 51237 101 0.20 1436 6156 0 0.00 12.01
Bolivia 48187 987 2.09 23799 1807 53 3.02 3.75
Portugal 46512 291 0.63 7379 1660 6 0.36 3.57
Singapore 45961 178 0.39 3866 26 0 0.00 0.06
Panama 45633 1301 2.93 19603 909 16 1.79 1.99
Dominican Republic 44532 1418 3.29 17855 897 17 1.93 2.01
Israel 38670 1206 3.22 17892 362 8 2.26 0.94
Poland 37891 370 0.99 5960 1571 3 0.19 4.15
Afghanistan 34451 85 0.25 5618 1010 16 1.61 2.93
Bahrain 32941 471 1.45 11177 108 4 3.85 0.33
Switzerland 32883 66 0.20 1591 1968 0 0.00 5.98
Nigeria 32558 571 1.79 12314 740 16 2.21 2.27
Romania 32535 456 1.42 8490 1884 13 0.69 5.79
Armenia 31969 577 1.84 11701 565 6 1.07 1.77
Guatemala 29355 757 2.65 16210 1219 47 4.01 4.15
Honduras 28090 507 1.84 15321 774 3 0.39 2.76
Ireland 25628 17 0.07 249 1746 0 0.00 6.81
Ghana 24518 270 1.11 10364 139 4 2.96 0.57
Azerbaijan 24041 520 2.21 11312 306 8 2.68 1.27
Japan 21841 411 1.92 4061 983 1 0.10 4.50
Moldova 19382 174 0.91 5182 642 2 0.31 3.31
Algeria 19195 483 2.58 7424 1011 7 0.70 5.27
Austria 18897 114 0.61 1556 708 2 0.28 3.75
Serbia 18360 287 1.59 5466 393 11 2.88 2.14
Nepal 16801 82 0.49 7775 38 0 0.00 0.23
Morocco 15745 203 1.31 5768 250 5 2.04 1.59
Cameroon 15173 0 0.00 3281 359 0 0.00 2.37
Korea, South 13479 62 0.46 1041 289 0 0.00 2.14
Czechia 13174 59 0.45 2676 352 0 0.00 2.67
Denmark 13147 0 0.00 556 609 0 0.00 4.63
Uzbekistan 12997 484 3.87 6682 60 3 5.26 0.46
Cote d’Ivoire 12766 323 2.60 5274 84 2 2.44 0.66
Kyrgyzstan 11117 707 6.79 7761 147 18 13.95 1.32
Sudan 10250 0 0.00 1670 650 0 0.00 6.34
Kenya 10105 379 3.90 5367 185 1 0.54 1.83

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 401706 677 0.17 13770 32350 7 0.02 8.05 20649.48 1662.93 1 in 48
California 324543 5782 1.81 145997 7051 24 0.34 2.17 8213.74 178.45 1 in 122
Florida 269811 15300 6.01 172520 4242 45 1.07 1.57 12562.36 197.51 1 in 80
Texas 262762 8347 3.28 149818 3216 78 2.49 1.22 9062.05 110.91 1 in 110
New Jersey 175298 339 0.19 6156 15525 0 0.00 8.86 19735.90 1747.88 1 in 51
Illinois 155048 954 0.62 18286 7388 19 0.26 4.76 12235.65 583.03 1 in 82
Arizona 122467 2537 2.12 69876 2237 86 4.00 1.83 16082.56 293.77 1 in 62
Georgia 116935 2534 2.22 52234 3003 7 0.23 2.57 11013.50 282.84 1 in 91
Massachusetts 111597 199 0.18 4536 8325 15 0.18 7.46 16058.27 1197.93 1 in 62
Pennsylvania 99794 578 0.58 13859 6904 7 0.10 6.92 7795.19 539.29 1 in 128
North Carolina 85771 1865 2.22 32970 1522 9 0.59 1.77 8177.95 145.12 1 in 122
Louisiana 78122 1319 1.72 28344 3416 13 0.38 4.37 16804.79 734.81 1 in 60
Michigan 76776 406 0.53 9065 6314 1 0.02 8.22 7687.70 632.23 1 in 130
Maryland 73109 642 0.89 8803 3319 9 0.27 4.54 12092.77 548.99 1 in 83
Virginia 70670 888 1.27 12676 1966 4 0.20 2.78 8279.52 230.33 1 in 121
Ohio 65592 1378 2.15 20784 3058 22 0.72 4.66 5611.38 261.61 1 in 178
Tennessee 61960 954 1.56 26858 741 3 0.41 1.20 9067.53 108.44 1 in 110
South Carolina 56648 1949 3.56 31987 961 10 1.05 1.70 11002.36 186.65 1 in 91
Alabama 53587 1640 3.16 23566 1121 7 0.63 2.09 10929.02 228.63 1 in 91
Indiana 51612 533 1.04 9189 2760 4 0.15 5.35 7666.42 409.97 1 in 130
Connecticut 47287 0 0.00 1532 4348 0 0.00 9.19 13263.17 1219.54 1 in 75
Minnesota 42281 710 1.71 9361 1540 3 0.20 3.64 7497.12 273.07 1 in 133
Washington 40656 1438 3.67 11976 1438 14 0.98 3.54 5339.01 188.84 1 in 187
Colorado 36895 322 0.88 6371 1725 0 0.00 4.68 6406.79 299.54 1 in 156
Wisconsin 36448 769 2.16 11629 820 -1 -0.12 2.25 6259.92 140.83 1 in 160
Mississippi 36287 868 2.45 15646 1249 19 1.54 3.44 12192.60 419.67 1 in 82
Iowa 35410 752 2.17 9447 752 4 0.53 2.12 11223.21 238.35 1 in 89
Utah 29484 629 2.18 12022 215 3 1.42 0.73 9196.63 67.06 1 in 109
Arkansas 28367 503 1.81 12806 321 2 0.63 1.13 9399.82 106.37 1 in 106
Missouri 27880 274 0.99 9421 1092 1 0.09 3.92 4542.62 177.92 1 in 220
Nevada 27683 845 3.15 14443 593 1 0.17 2.14 8987.53 192.52 1 in 111
Nebraska 21172 174 0.83 3360 285 0 0.00 1.35 10944.95 147.33 1 in 91
Oklahoma 20235 456 2.31 9719 422 1 0.24 2.09 5113.76 106.65 1 in 196
Kentucky 19389 268 1.40 5639 625 3 0.48 3.22 4339.84 139.89 1 in 230
Kansas 18981 294 1.57 6845 297 2 0.68 1.56 6515.26 101.95 1 in 153
Rhode Island 17312 0 0.00 975 976 0 0.00 5.64 16341.93 921.31 1 in 61
New Mexico 15028 255 1.73 4463 545 2 0.37 3.63 7167.01 259.92 1 in 140
Delaware 12804 61 0.48 2029 517 0 0.00 4.04 13148.98 530.93 1 in 76
Oregon 12170 319 2.69 5598 234 2 0.86 1.92 2885.43 55.48 1 in 347
Idaho 10903 397 3.78 6897 102 0 0.00 0.94 6084.04 56.92 1 in 164
District of Columbia 10847 46 0.43 827 568 0 0.00 5.24 15369.49 804.82 1 in 65
Puerto Rico 9654 288 3.07 3129 167 0 0.00 1.73 3022.83 52.29 1 in 331
South Dakota 7499 45 0.60 1202 109 0 0.00 1.45 8476.71 123.21 1 in 118
New Hampshire 6054 30 0.50 510 391 0 0.00 6.46 4452.42 287.56 1 in 225
North Dakota 4334 91 2.14 1046 87 0 0.00 2.01 5687.20 114.16 1 in 176
West Virginia 4244 98 2.36 1711 96 0 0.00 2.26 2374.73 53.72 1 in 421
Maine 3539 19 0.54 582 114 2 1.79 3.22 2632.77 84.81 1 in 380
Wyoming 1862 23 1.25 665 21 0 0.00 1.13 3217.23 36.28 1 in 311
Montana 1758 81 4.83 1041 29 0 0.00 1.65 1644.87 27.13 1 in 608
Alaska 1479 94 6.79 727 17 0 0.00 1.15 2021.75 23.24 1 in 495
Vermont 1296 13 1.01 137 56 0 0.00 4.32 2076.96 89.75 1 in 481
Hawaii 1220 20 1.67 406 19 0 0.00 1.56 861.66 13.42 1 in 1161

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4673195 401706 8.60 1277876 13770 1.08 240223.11
2 California 5406599 324543 6.00 2087343 145997 6.99 136833.58
3 Florida 2574007 269811 10.48 974711 172520 17.70 119845.35
4 Texas 2492754 262762 10.54 966574 149818 15.50 85969.25
5 New Jersey 1685604 175298 10.40 440637 6156 1.40 189773.47
6 Illinois 1984114 155048 7.81 622330 18286 2.94 156576.86
7 Arizona 696172 122467 17.59 276428 69876 25.28 91422.43
8 Georgia 1083416 116935 10.79 389032 52234 13.43 102041.33
9 Massachusetts 957480 111597 11.66 184160 4536 2.46 137776.76
10 Pennsylvania 924284 99794 10.80 266539 13859 5.20 72198.47
11 North Carolina 1199575 85771 7.15 453800 32970 7.27 114375.04
12 Louisiana 934995 78122 8.36 324183 28344 8.74 201126.36
13 Michigan 1296155 76776 5.92 388729 9065 2.33 129786.08
14 Maryland 643391 73109 11.36 174360 8803 5.05 106421.61
15 Virginia 804045 70670 8.79 258369 12676 4.91 94199.90
16 Ohio 1006386 65592 6.52 363165 20784 5.72 86096.11
17 Tennessee 1018015 61960 6.09 332386 26858 8.08 148981.28
18 South Carolina 492508 56648 11.50 189841 31987 16.85 95656.51
19 Alabama 511506 53587 10.48 166828 23566 14.13 104321.17
20 Indiana 564647 51612 9.14 152727 9189 6.02 83872.35
21 Connecticut 558209 47287 8.47 162781 1532 0.94 156567.76
22 Minnesota 755052 42281 5.60 250689 9361 3.73 133883.20
23 Washington 668466 40656 6.08 202367 11976 5.92 87784.03
24 Colorado 392103 36895 9.41 113717 6371 5.60 68088.38
25 Wisconsin 693229 36448 5.26 208076 11629 5.59 119061.72
26 Mississippi 335211 36287 10.83 96496 15646 16.21 112632.47
27 Iowa 374413 35410 9.46 117261 9447 8.06 118670.27
28 Utah 413058 29484 7.14 116663 12022 10.30 128840.74
29 Arkansas 382402 28367 7.42 140168 12806 9.14 126714.44
30 Missouri 485508 27880 5.74 170351 9421 5.53 79106.10
31 Nevada 347556 27683 7.97 105865 14443 13.64 112837.14
32 Nebraska 208103 21172 10.17 53862 3360 6.24 107579.68
33 Oklahoma 420272 20235 4.81 137832 9719 7.05 106210.53
34 Kentucky 438170 19389 4.42 120889 5639 4.66 98075.66
35 Kansas 217779 18981 8.72 70130 6845 9.76 74753.01
36 Rhode Island 166655 17312 10.39 -47934 975 -2.03 157316.53
37 New Mexico 410754 15028 3.66 117323 4463 3.80 195892.94
38 Delaware 137409 12804 9.32 42435 2029 4.78 141111.19
39 Oregon 296172 12170 4.11 93561 5598 5.98 70220.59
40 Idaho 125261 10903 8.70 52293 6897 13.19 69897.58
41 District of Columbia 126883 10847 8.55 47361 827 1.75 179784.88
43 South Dakota 90608 7499 8.28 17582 1202 6.84 102421.38
44 New Hampshire 133389 6054 4.54 27504 510 1.85 98100.99
45 North Dakota 122479 4334 3.54 26306 1046 3.98 160720.52
46 West Virginia 207036 4244 2.05 56447 1711 3.03 115847.21
47 Maine 122314 3539 2.89 41324 582 1.41 90993.09
48 Wyoming 39939 1862 4.66 12580 665 5.29 69008.00
49 Montana 114661 1758 1.53 44304 1041 2.35 107282.34
50 Alaska 145475 1479 1.02 57424 727 1.27 198859.95
51 Vermont 75851 1296 1.71 18006 137 0.76 121558.23
52 Hawaii 93920 1220 1.30 26060 406 1.56 66333.68

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 260924 6497 2.55 144507 55.38 105638 10482 193 1.88 4.02
Tamil Nadu 142798 4328 3.13 92567 64.82 48199 2032 66 3.36 1.42
Delhi 113740 1246 1.11 91312 80.28 19017 3411 40 1.19 3.00
Gujarat 42808 902 2.15 29806 69.63 10946 2056 10 0.49 4.80
Karnataka 41581 2738 7.05 16249 39.08 24569 759 73 10.64 1.83
Uttar Pradesh 38130 1654 4.53 24203 63.47 12972 955 21 2.25 2.50
Telangana 36221 1550 4.47 23679 65.37 12177 365 9 2.53 1.01
West Bengal 31448 1435 4.78 19213 61.09 11279 956 24 2.58 3.04
Andhra Pradesh 31103 1935 6.63 16464 52.93 14274 365 37 11.28 1.17
Rajasthan 24936 544 2.23 18630 74.71 5788 518 8 1.57 2.08
Haryana 21929 689 3.24 16637 75.87 4984 308 7 2.33 1.40
Madhya Pradesh 18207 575 3.26 13208 72.54 4336 663 10 1.53 3.64
Assam 17808 1001 5.96 11417 64.11 6343 45 4 9.76 0.25
Bihar 17421 1116 6.84 12364 70.97 4923 134 9 7.20 0.77
Odisha 13737 616 4.69 9255 67.37 4391 91 7 8.33 0.66
Jammu and Kashmir 10827 314 2.99 6095 56.29 4545 187 8 4.47 1.73
Kerala 8323 449 5.70 4257 51.15 4028 34 2 6.25 0.41
Punjab 8178 357 4.56 5586 68.31 2388 204 5 2.51 2.49
Chhattisgarh 4265 184 4.51 3202 75.08 1044 19 0 0.00 0.45
Jharkhand 3963 203 5.40 2351 59.32 1579 33 2 6.45 0.83
Uttarakhand 3608 71 2.01 2856 79.16 671 49 2 4.26 1.36
Goa 2583 130 5.30 1540 59.62 1026 17 3 21.43 0.66
State Unassigned 2358 -666 -22.02 0 0.00 2358 0 0 NaN 0.00
Tripura 2093 26 1.26 1475 70.47 602 2 0 0.00 0.10
Manipur 1626 17 1.06 970 59.66 656 0 0 NaN 0.00
Puducherry 1468 50 3.53 785 53.47 665 18 0 0.00 1.23
Himachal Pradesh 1243 30 2.47 927 74.58 293 10 0 0.00 0.80
Ladakh 1093 7 0.64 946 86.55 146 1 0 0.00 0.09
Nagaland 845 71 9.17 340 40.24 505 0 0 NaN 0.00
Chandigarh 588 29 5.19 423 71.94 157 8 0 0.00 1.36
Dadra and Nagar Haveli and Daman and Diu 525 26 5.21 310 59.05 210 1 0 0.00 0.19
Arunachal Pradesh 387 27 7.50 145 37.47 240 2 0 0.00 0.52
Meghalaya 316 21 7.12 46 14.56 268 2 0 0.00 0.63
Mizoram 233 2 0.87 151 64.81 82 0 0 NaN 0.00
Andaman and Nicobar Islands 166 3 1.84 109 65.66 57 0 0 NaN 0.00
Sikkim 166 2 1.22 87 52.41 66 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1142932 95049 77 0.08 8.32 160 31 8004 16748 17.62
Piemonte 449118 31498 4 0.01 7.01 190 9 1058 4111 13.05
Emilia-Romagna 547863 28940 71 0.25 5.28 93 10 1180 4269 14.75
Veneto 1065444 19395 16 0.08 1.82 20 3 408 2039 10.51
Toscana 371272 10322 1 0.01 2.78 8 3 331 1122 10.87
Liguria 163019 10031 0 0.00 6.15 25 0 239 1559 15.54
Lazio 367461 8314 20 0.24 2.26 197 12 913 844 10.15
Marche 149154 6804 1 0.01 4.56 4 0 167 987 14.51
P.A. Trento 134432 4881 0 0.00 3.63 2 0 26 405 8.30
Campania 302889 4772 3 0.06 1.58 13 0 246 432 9.05
Puglia 201419 4541 0 0.00 2.25 12 0 71 546 12.02
Friuli Venezia Giulia 212196 3335 0 0.00 1.57 2 0 79 345 10.34
Abruzzo 115119 3328 5 0.15 2.89 22 0 150 465 13.97
Sicilia 235174 3099 0 0.00 1.32 5 0 123 283 9.13
P.A. Bolzano 91166 2666 5 0.19 2.92 6 0 88 292 10.95
Umbria 106030 1450 2 0.14 1.37 4 0 9 80 5.52
Sardegna 92691 1372 0 0.00 1.48 3 0 9 134 9.77
Calabria 105034 1216 28 2.36 1.16 4 0 57 97 7.98
Valle d’Aosta 19497 1196 0 0.00 6.13 2 0 3 146 12.21
Molise 24647 446 1 0.22 1.81 1 0 13 23 5.16
Basilicata 42254 406 0 0.00 0.96 3 0 5 27 6.65

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 56521 114 0.20 5627 7 0.12 9.96 6620.19 659.08 1 in 151
Ontario 38481 83 0.22 2764 4 0.14 7.18 2615.65 187.88 1 in 382
Alberta 8596 0 0.00 160 0 0.00 1.86 1947.82 36.26 1 in 513
British Columbia 3053 0 0.00 187 0 0.00 6.13 597.35 36.59 1 in 1674
Nova Scotia 1066 0 0.00 63 0 0.00 5.91 1090.59 64.45 1 in 917
Saskatchewan 815 0 0.00 15 0 0.00 1.84 689.70 12.69 1 in 1450
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 166 0 0.00 2 0 0.00 1.20 212.82 2.56 1 in 4699
Prince Edward Island 34 1 3.03 0 0 NaN 0.00 214.97 0.00 1 in 4652
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1650 8 0.48
Hong Kong 1469 7 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 725 7 0.97
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 200 0 0.00
Yunnan 187 2 1.07
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 10100.68 413.22 1 in 99
Brazil 8909.13 344.48 1 in 112
India 655.90 17.31 1 in 1525
Russia 5024.47 78.33 1 in 199
Peru 10143.80 368.98 1 in 99
Chile 17453.80 386.65 1 in 57
Mexico 2320.05 270.94 1 in 431
United Kingdom 4382.21 675.86 1 in 228
South Africa 4870.28 71.91 1 in 205
Iran 3170.32 158.07 1 in 315
Spain 5441.66 608.72 1 in 184
Pakistan 1277.28 26.73 1 in 783
Italy 4018.87 577.94 1 in 249
Saudi Arabia 7050.97 67.49 1 in 142
Turkey 2635.73 66.37 1 in 379
France 3105.16 447.93 1 in 322
Germany 2414.77 109.57 1 in 414
Bangladesh NA NA 1 in NA
Colombia 2962.34 110.58 1 in 338
Canada 2908.97 234.88 1 in 344

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 219051 23283 10.63
Los Angeles California 133549 3809 2.85
Cook Illinois 95557 4725 4.94
Maricopa Arizona 80146 1133 1.41
Miami-Dade Florida 64444 1139 1.77
Harris Texas 45368 458 1.01
Nassau New York 42307 2190 5.18
Suffolk New York 42028 1993 4.74
Westchester New York 35297 1435 4.07
Dallas Texas 33800 451 1.33
Broward Florida 30025 464 1.55
Philadelphia Pennsylvania 27367 1637 5.98
Riverside California 24765 537 2.17
Orange California 24715 423 1.71
Middlesex Massachusetts 24483 1916 7.83
Wayne Michigan 23996 2759 11.50
Clark Nevada 23048 483 2.10
Palm Beach Florida 21018 606 2.88
Suffolk Massachusetts 20301 1020 5.02
Bergen New Jersey 19871 2028 10.21
Prince George’s Maryland 19713 712 3.61
Bexar Texas 19648 184 0.94
San Diego California 19371 422 2.18
Hillsborough Florida 19150 188 0.98
Hudson New Jersey 19121 1482 7.75
San Bernardino California 19043 306 1.61
Essex New Jersey 19008 2070 10.89
Orange Florida 18001 80 0.44
Tarrant Texas 17757 268 1.51
Passaic New Jersey 17064 1219 7.14
Middlesex New Jersey 17035 1375 8.07
Fairfield Connecticut 16906 1380 8.16
Union New Jersey 16501 1343 8.14
Essex Massachusetts 16469 1137 6.90
Montgomery Maryland 15727 759 4.83
Mecklenburg North Carolina 15024 159 1.06
Travis Texas 14622 168 1.15
Salt Lake Utah 14609 130 0.89
Fairfax Virginia 14482 500 3.45
Milwaukee Wisconsin 13928 398 2.86
Rockland New York 13716 670 4.88
Shelby Tennessee 13594 224 1.65
Hennepin Minnesota 13568 791 5.83
Davidson Tennessee 13309 143 1.07
Providence Rhode Island 13144 0 0.00
Duval Florida 12864 81 0.63
Oakland Michigan 12700 1108 8.72
Worcester Massachusetts 12648 958 7.57
New Haven Connecticut 12532 1079 8.61
Marion Indiana 12074 693 5.74
Franklin Ohio 12035 447 3.71
Hartford Connecticut 11892 1385 11.65
King Washington 11825 637 5.39
Pima Arizona 11767 327 2.78
Gwinnett Georgia 11304 183 1.62
Jefferson Louisiana 11100 493 4.44
District of Columbia District of Columbia 10847 568 5.24
Pinellas Florida 10844 229 2.11
Orange New York 10835 484 4.47
Fulton Georgia 10595 324 3.06
Lake Illinois 10378 428 4.12
Lee Florida 10123 187 1.85
Ocean New Jersey 9820 997 10.15
DuPage Illinois 9719 486 5.00
Puerto Rico 9654 167 1.73
El Paso Texas 9510 151 1.59
Monmouth New Jersey 9482 834 8.80
Norfolk Massachusetts 9462 958 10.12
Cuyahoga Ohio 9208 399 4.33
Montgomery Pennsylvania 8856 829 9.36
Plymouth Massachusetts 8811 679 7.71
Baltimore Maryland 8797 496 5.64
Orleans Louisiana 8665 540 6.23
Out of GA Georgia 8537 50 0.59
Baltimore City Maryland 8489 365 4.30
Bristol Massachusetts 8460 601 7.10
Yuma Arizona 8302 154 1.85
Fresno California 8282 88 1.06
DeKalb Georgia 8253 181 2.19
Yakima Washington 8122 190 2.34
Kane Illinois 8107 281 3.47
Douglas Nebraska 8024 97 1.21
Denver Colorado 7902 394 4.99
Macomb Michigan 7830 928 11.85
Imperial California 7827 135 1.72
St. Louis Missouri 7809 597 7.65
Prince William Virginia 7809 157 2.01
Mercer New Jersey 7789 600 7.70
Erie New York 7742 644 8.32
Alameda California 7731 148 1.91
Hidalgo Texas 7727 142 1.84
Camden New Jersey 7692 546 7.10
Charleston South Carolina 7555 60 0.79
Delaware Pennsylvania 7548 668 8.85
Polk Iowa 7538 185 2.45
Wake North Carolina 7447 71 0.95
Will Illinois 7278 326 4.48
Polk Florida 7246 140 1.93
Greenville South Carolina 7145 105 1.47
East Baton Rouge Louisiana 7100 279 3.93

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc